Youngjoo Jo
Planning Officer at VaxCell Biotherapeutics Co., Ltd.
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolYoungjoo Jo is a planning officer and AI researcher with seven years of cross-disciplinary experience spanning biochemistry, biotechnology planning, and applied machine learning. Currently at VaxCell Biotherapeutics in Seoul, she combines domain knowledge in cell & gene therapy, retinoic acid/T3 signaling, and crystallography with practical research and product-building skills. Her background includes hands-on lab research with engineered microbes, public-sector analytics and UX work, and a notable open-source contribution implementing a PyQt5 GUI for the ICCV2019 SC-FEGAN face-editing model. Comfortable bridging scientific research and software development, she brings a rare mix of bench science intuition and full-stack implementation experience that helps translate complex biological ideas into usable tools.
7 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at Minnesota State University, Mankato
English, Korean
Github Skills (7)
computer-vision10
machine-learning10
pyqt10
front-end-development10
python10
image-processing9
tensorflow9
Programming languages (1)
Github contributions (5)
run-youngjoo/SC-FEGAN
Feb 2019 - Nov 2019
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:58 commits, 4 PRs, 37 pushes in 8 months
Contributions summary:Youngjoo primarily contributed to the development of a face editing application. They implemented a graphical user interface (GUI) using PyQt5 for user interaction. The commits also include the integration of a machine learning model, likely for face editing, and the addition of features such as mask and sketch modes, undo functionality, and image saving. The user also made code adjustments to address the errors of the undo feature.
cycleganadversarialcomputer-graphicscomputer-visiongenerative-adversarial-network
run-youngjoo/awesome-reviews-kaist
Apr 2022 - May 2022
Computer vision paper reviews written by KAIST AI students
Contributions:10 pushes in 17 days
kaistvisiondeep-learningpaper-reviewscomputer-vision
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